Weekly Objectives
- Use linear regression in R to model continuous outcomes and be able
to interpret its parameters
- Use logistic regression in R to model binary outcomes and understand
odds ratio and relative risk
- Understand the logistic link and be able to interpret the parameter
estimates in a logistic regression
- Use R functions to evaluate model accuracy of a classification
model
- Understand the bias caused by censoring
- Use log-rank test and Cox proportional hazard model in R for
survival outcomes
Lecture Note
Homework